André has a background in computational linguistics and natural language processing (NLP). He has worked on a range of issues including temporal information extraction, relation extraction, semantic role labelling, and document classification, and has held posts in both academic and industrial research settings. He joined King’s in January 2018 to work on the eHOST-IT project, using language technologies and machine learning to develop predictive models of suicide risk using the clinical narratives stored in the CRIS database of electronic health records housed at the Maudsley Biomedical Research Centre.
As well as his research experience, he has also taught courses at both undergraduate and Master’s levels in linguistics and computer science at several major universities in France.
André has a PhD in computational linguistics from Université Paris Diderot.
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